Level up your Bot with Watson

The Watson Services by IBM combine 20+ services you can use to enhance your bot, from Natural Language Processing to Image Analytics and beyond.

Transcript

1. Level up your bot with Watson Vienna Bots Meetup @Sgoettschkes https://stocksnap.io/photo/LTB7BB80VH
4. Bot ingredients Application Platform “Bot” • Facebook • Telegram • Slack • ... • NLP • Machine Learning • API • Database
5. Bot ingredients Application Platform “Bot” • Facebook • Telegram • Slack • ... • NLP • Machine Learning • API • Database
6. blitzlicht Improve communication by asking simple questions. 1. Ask one question 2. Have people answer in their own words 3. Get insights
7. blitzlicht in Action
8. blitzlicht in Action
9. blitzlicht in Action
10. NLP APIs • wit.ai • Watson • TextRazor • Aylien • ….
11. Watson
12. Watson APIs
13. AlchemyLanguage • Emotion Analysis • Sentiment Analysis • Entity Extraction • Authors Extraction
14. Watson API example HTTP GET http://gateway-a.watsonplatform. net/calls/text/TextGetEmotion? apiKey=myApiKey&text=I%20love%20bots%20so% much&outputMode=json
15. Watson API example HTTP GET http://gateway-a.watsonplatform. net/calls/text/TextGetEmotion? apiKey=myApiKey&text=I%20love%20bots%20so% much&outputMode=json
16. Watson API example HTTP GET http://gateway-a.watsonplatform. net/calls/text/TextGetEmotion? apiKey=myApiKey&text=I%20love%20bots%20so% much&outputMode=json
17. Watson API example HTTP GET http://gateway-a.watsonplatform. net/calls/text/TextGetEmotion? apiKey=myApiKey&text=I%20love%20bots%20so% much&outputMode=json
18. Watson API example HTTP GET http://gateway-a.watsonplatform. net/calls/text/TextGetEmotion? apiKey=myApiKey&text=I%20love%20bots%20so% much&outputMode=json
19. Watson API example { "status": "OK", "language": "english", "text": "I love bots so much" "docEmotions": { "anger": "0.147255", "disgust": "0.041646", "fear": "0.090144", "joy": "0.50019", "sadness": "0.259973" } }
20. Code example
21. Code example Future emotion(String text) { String uri = '/calls/text/TextGetEmotion'; String parameters = 'apikey=${apiKey}&text=${text}&outputMode=json'; return http.get(Watson.baseUrl + uri + '?' + parameters).then((data) { Map response = JSON.decode(data.body); if (response['status'] == 'ERROR') { throw new WatsonException(response['statusInfo']); } return response; }); }
22. Code example watson.emotion(answer.text).then((Map response) { response['docEmotions'].forEach((String key, String value) { if (double.parse(value) > 0.5) { // The text has a pretty clear overall emotions } }); });
23. Pitfalls • Inconsistent APIs • Various pricings • A lot of deprecated/beta APIs
24. Summary https://pixabay.com/en/milky-way-andromeda-stars-galaxy-923801/
25. https://www.dropbox.com/s/6z5aiwa8l09g2pa/86H.jpg